WaveSpeedAI APIVideo Effects Body Shake

Video Effects Body Shake

Video Effects Body Shake

Playground

Try it on WavespeedAI!

Transform your photos into dynamic body-shaking dance videos with natural motion and emotion.

Features

Body Shake Effect

Requirements

Number of Images

  • Mandatory
  • Only one image upload supported

Number of People

  • Supports single-person photos in realistic or anime style

Image Requirements

  • When the person is fully visible from above the thighs, the effect is better

Prompt

  • Mandatory
  • Format should remain unchanged as much as possible
  • If custom requirements exist, modify the prompt without altering the structure and majority of the content

Effect Boundaries

  • Close-up portraits may result in distorted facial proportions or reduced generation quality
  • When the subject’s hands are raised or positioned behind the body, hand blurring or structural issues may occur
  • Multi-subject images may lead to misaligned characters, missing subjects, or mesh clipping
  • If only the lower legs (with shoes) are visible and the upper body is missing, the subject may not be able to perform turning movements
  • Back-facing inputs may fail to generate a front-facing rotation

Best Practices

  1. Use clear, front-facing photos
  2. Ensure subject is fully visible from above the thighs
  3. Avoid close-up portraits
  4. Keep hands visible and in natural positions
  5. Use single-person photos only

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/video-effects/body-shake" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://image01.cf.vidu.studio/vidu-maas/Tempmates_material/Dynamic/Dynamic/zhaunshenrewu_upload.png"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-An image to be used as the start frame of the generated video. Requirements: 1. Only accepts 1 image; 2. Supports single-person photos in realistic or anime style; 3. Best results when the person is fully visible from above the thighs; 4. Images can be provided via URLs or Base64 encode; 5. Supported codecs: PNG, JPEG, JPG, WebP; 6. Image aspect ratio must be less than 1:4 or 4:1; 7. Maximum file size: 50MB; 8. Base64 decode length must be under 50MB with appropriate content type string.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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